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Exploring software product management decision problems with constraint solving – opportunities for prioritization and release planning

Författare

Summary, in English

Decision-making is central to Software Product

Management (SPM) and includes deciding on requirements

priorities and the content of coming releases. Several algorithms

for prioritization and release planning have been

proposed, where humans with or without machine support

enact a series of steps to produce a decision outcome. Instead

of applying some specific algorithm to find an acceptable

solution to a decision problem, we propose to model SPM

decision-making as a Constraint Satisfaction Problem (CSP),

where relative and absolute priorities, interdependencies, and

other constraints are expressed as relations among variables

representing entities such as feature priorities, stakeholder

preferences, and resource constraints. The solution space is

then explored with the help of a constraint solver without

humans needing to care about specific algorithms. This paper

discusses advantages and limitations of CSP modeling in

SPM and gives principal examples as a proof-of-concept

of CSP modeling in requirements prioritization and release

planning. A discussion of further research on constraint

solving in SPM is also given.

Publiceringsår

2011

Språk

Engelska

Sidor

47-56

Publikation/Tidskrift/Serie

2011 Fifth International Workshop on Software Product Management (IWSPM)

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Computer Science

Nyckelord

  • release planning
  • requirementsengineering
  • software product management
  • prioritization
  • constraint programming

Conference name

5th International Workshop on Software Product Management

Conference date

2011-08-29 - 2011-09-02

Conference place

19th IEEE International Requirements Engineering Conference 2011, Trento, Italy

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-1-4577-1147-3
  • ISBN: 978-1-4577-1146-6